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Using Text Mining to Compare Online Pro- and Anti-Vaccine Headlines: Word Usage, Sentiments, and Online Popularity
Zhan Xu
, Hao Guo
Research output
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Contribution to journal
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Article
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peer-review
44
Scopus citations
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Dive into the research topics of 'Using Text Mining to Compare Online Pro- and Anti-Vaccine Headlines: Word Usage, Sentiments, and Online Popularity'. Together they form a unique fingerprint.
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Keyphrases
Text Mining
100%
Word Use
100%
Pro-vaccine
100%
Anti-vaccine
100%
Online Popularity
100%
Positive Emotions
50%
Sentiment Word
50%
Popular
25%
Negative Emotions
25%
Automatic Detection
25%
Emotional Words
25%
Word Network
25%
Automatic Analysis
25%
Word Clusters
25%
True Information
25%
Health Misinformation
25%
Message Design
25%
Text Sentiment Analysis
25%
Text Mining Analysis
25%
Word Cloud
25%
Related Words
25%
Computer Science
Text Mining
100%
Analysis Technique
50%
Sentiment Analysis
50%
Future Direction
50%
Automatic Detection
50%
Automatic Analysis
50%
Misinformation
50%
Psychology
Text Mining
100%
Clustering
50%